This individual will be a key contributor in all aspects of the ML MDS and must be willing to work in agile project framework. One of the key cornerstones of ML MDS personnel is the ability to adapt and learn quickly the business needs throughout the entire modeling implementation process. ML MDS team is responsible for a complete cradle-to-grave model implementation oversite. Responsibilities include developing business priorities, engaging modeling teams to meet business requirements, providing support to the modeling and data support to model development teams, oversee the devolvement and testing of modeling code (Java, Python, PySpark, Scala), conduct low-level User Acceptance Testing, establish SDQ rule parameters and aid in the creation and testing of a standardized series of post-production Tableau reports. Responsibilities: - Import, clean, transform and validate data from multiple sources and systems (Teradata, Oracle, Hadoop,...etc.) in preparation for analytics and/or modeling - Have an understanding of Python, PySpark and Hadoop with a willingness to become an expert in Big Data and Machine Learning processes. - Leverage a variety of analytical and statistical applications (SAS, SQL, Python, PySpark, JAVA, Scala) to describe, analyze, and validate trends in large complex data sets. - Build and develop Proof-of-Concept machine learning outlier detection systems to run in Hadoop using Python/PySpark or JAVA/Scala. - Oversee and validate production processes as they are being developed and implemented. Qualifications - 8+ years of experience doing hands-on data analysis - Technical expertise regarding data models, data analysis, and segmentation techniques - Experience with Business Intelligence and analytical tools such as Tableau, SAS, HUE, Hive, Impala, ClickFox, etc - Self-sufficiency in querying and extracting data from Enterprise databases (Teradata, Oracle, Hadoop,...etc.) - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - Ability to present fact-based recommendations in a clear, logical, and concise way; "tell a story" with data - Superior written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions - BS in Mathematics, Economics, Computer Science, Information Management, Statistics, Engineering or related quantitative discipline preferred About Us- JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. About the Team Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Were proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions all while ranking first in customer satisfaction. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firms data sharing principles of security, customer control and convenience, and privacy. The apply button will redirect you to an external URL. Please apply there as well.

Mumbai

JP Morgan Chase - Associate - Machine Learning Model Delivery Services - Consumer & Community Banking Division 

JP Morgan Chase - Associate - Machine Learning Model Delivery Services - Consumer & Community Banking Division  ,Job Description for JP Morgan Chase - Associate - Machine Learning Model Delivery Services - Consumer & Community Banking Division  in JP Morgan Chase in  Mumbai for (8-10) years of experience. Apply Now!

Job Description for JP Morgan Chase - Associate - Machine Learning Model Delivery Services - Consumer & Community Banking Division  in JP Morgan Chase in  Mumbai for (8-10) years of experience. Apply Now!